2.0 - MOOSE: Enabling massively parallel multiphysics simulation. - Alexander D. Lindsay; Derek R. Gaston; Cody J. Permann; Jason M. Miller; David Andrs; Andrew E. Slaughter; Fande Kong; Joshua Hansel; Robert W. Carlsen; Casey Icenhour; Logan H. Harbour; Guillaume L. Giudicelli; et al. (SoftwareX, 2022)

Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning. - Mahmoud Yaseen; Dewen Yushu; Peter German; Xu Wu (CoRR, 2023)

Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning. - Mahmoud Yaseen; Dewen Yushu; Peter German; Xu Wu (CoRR, 2023)

MOOSE Stochastic Tools: A module for performing parallel, memory-efficient in situ stochastic simulations. - Andrew E. Slaughter; Zachary M. Prince; Peter German; Ian Halvic; Wen Jiang 003; Benjamin W. Spencer; Somayajulu L. N. Dhulipala; Derek R. Gaston (SoftwareX, 2023)

Enabling scientific machine learning in MOOSE using Libtorch. - Peter German; Dewen Yushu (SoftwareX, 2023)

MOOSE Navier-Stokes module. - Alexander D. Lindsay; Guillaume L. Giudicelli; Peter German; John W. Peterson; Yaqi Wang 001; Ramiro Freile; David Andrs; Paolo Balestra; Mauricio Tano; Rui Hu; Ling Zou; Derek Gaston; et al. (SoftwareX, 2023)

3.0 - MOOSE: Enabling massively parallel multiphysics simulations. - Guillaume L. Giudicelli; Alexander D. Lindsay; Logan H. Harbour; Casey Icenhour; Mengnan Li; Joshua Hansel; Peter German; Patrick Behne; Oana Marin; Roy H. Stogner; Jason M. Miller; Daniel Schwen; et al. (SoftwareX, 2024)

4.0 MOOSE: Enabling massively parallel Multiphysics simulation. - Logan H. Harbour; Guillaume L. Giudicelli; Alexander D. Lindsay; Peter German; Joshua Hansel; Casey Icenhour; Mengnan Li; Jason M. Miller; Roy H. Stogner; Patrick Behne; Daniel Yankura; Zachary M. Prince; et al. (SoftwareX, 2025)